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All issues Volume 59 / No 6 (November-December 2025) RAIRO-Oper. Res., 59 6 (2025) 3487-3503 References
Open Access
Issue
RAIRO-Oper. Res.
Volume 59, Number 6, November-December 2025
Page(s) 3487 - 3503
DOI https://doi.org/10.1051/ro/2025135
Published online 17 November 2025
  • F. Wang, X.J. Wang and S.L. Sun, A reinforcement learning level-based particle swarm optimization algorithm for large-scale optimization. Inf. Sci. 602 (2022) 298–312. [Google Scholar]
  • M. Squires, X. Tao, S. Elangovan, R. Gururajan, X. Zhou and U.R. Acharya, A novel genetic algorithm based system for the scheduling of medical treatments. Expert Syst. App. 195 (2022) 116–464. [Google Scholar]
  • F, Arnaud, H Oulhadj and P Siarry, Quantum particle swarm optimization: an auto-adaptive PSO for local and global optimization. Comput. Optim. App. 82 (2022) 525–559. [Google Scholar]
  • J.R. Li, Y.L. Shang and P. Han, New tunnel-filled function method for discrete global optimization. J. Oper. Res. Soc. Chin. 5 (2017) 291–300. [Google Scholar]
  • R.P. Ge, A filled function method for finding a global minimizer of a function of several variables. Math. Program. 46 (1990) 191–204. [Google Scholar]
  • R.P. Ge and Y.F. Qin, A class of filled functions for finding global minimizers of a function of several variables. J. Optim. Theory App. 54 (1987) 241–252. [Google Scholar]
  • X. Liu, A class of generalized filled functions with improved computability. J. Comput. Appl. Math. 137 (2001) 61–69. [Google Scholar]
  • A.I. Ahmed, A new parameter free filled function for solving unconstrained global optimization problems. Int. J. Comput. Math. 98 (2021) 106–119. [Google Scholar]
  • Y. Shang, D. Qu, J. Li and R. Zhang, A new parameter-free continuously differentiable filled function algorithm for solving nonlinear equations and data fitting problems. J. Comput. Appl. Math. 454 (2025) 116198. [Google Scholar]
  • H. Liu, S. Xue, Y. Cheng and S. Tuo, A new parameterless filled function method for global optimization. Axioms 11 (2022) 746. [Google Scholar]
  • Y.L. Shang, G.L. Sun, X.Q. Wang and R. Zhang, A class of one-parameter filled functions with the same local minima as the objective function for global optimization problems. Optimization 74 (2025) 3747–3769. DOI: 10.1080/02331934.2024.2389251. [Google Scholar]
  • A. Şahiner, T. Ermiş and W.A. Muhammad, A new filled function for global optimization. Analele Stiintifice ale Universitatii Ovidius Constanta, Seria Matematica 31 (2023) 207–220. [Google Scholar]
  • C. Wang, Y. Yang and J. Li, A new filled function method for unconstrained global optimization. J. Comput. Appl. Math. 225 (2009) 68–79. [Google Scholar]
  • Y.L. Shang, D.G. Pu and A. Jiang, Finding global minimizer with one-parameter filled function on unconstrained global optimization. Appl. Math. Comput. 191 (2007) 176–182. [Google Scholar]
  • S.Z. Ma, Y.J. Yang and H.Q. Liu, A parameter free filled function for unconstrained global optimization. Appl. Math. Comput. 215 (2010) 3610–3619. [Google Scholar]
  • R. Pandiya, W. Widodo and I. Endrayanto, Non parameter-filled function for global optimization. Appl. Math. Comput. 391 (2021) 125–642. [Google Scholar]
  • D.Q. Qu, J.X. Li, Y.L. Shang, D. Wu and Z.S. Fang, A novel convergent filled function algorithm for multidimensional global optimization. Optimization 72 (2023) 2547–2560. [Google Scholar]
  • S.X. Ma, Y.L. Gao, H.W. Lin, et al., A new global optimization parameter-free filled function method. (In Chinese) Oper. Res. Trans. (2024) 1–19. [Google Scholar]
  • H. Lin, Y. Gao, X. Wang and S. Su, A filled function which has the same local minimizer of the objective function. Optim. Lett. 13 (2019) 761–776. [Google Scholar]
  • X. Wu, Y. Wang and N.L. Fan, A new filled function method based on adaptive search direction and valley widening for global optimization. Appl. Intell. 51 (2021) 6234–6254. [Google Scholar]
  • L.S. Zhang, C.K. Ng, D. Li and W.W. Tian, A new filled function method for global optimization. J. Global Optim. 28 (2004) 17–43. [Google Scholar]
  • Y.J. Yang and Y.L. Shang, A new filled function method for unconstrained global optimization. Appl. Math. Comput. 173 (2006) 501–512. [Google Scholar]
  • Y.L. Gao, Y.J. Yang and M. You, A new filled function method for global optimization. Appl. Math. Comput. 268 (2015) 685–695. [Google Scholar]
  • H. Lin, Y. Wang, L. Fan and Y. Gao, A new discrete filled function method for finding global minimizer of the integer programming. Appl. Math. Comput. 219 (2013) 4371–4378. [Google Scholar]
  • J.R. Li, Y.L. Shang and P. Han, New tunnel-filled function method for discrete global optimization. J. Oper. Res. Soc. Chin. 5 (2017) 291–300. [Google Scholar]
  • W.X. Wang, Y.L. Shang and L.S. Zhang, A new quasi-filled function method for constrained global optimization. J. Math. Control Sci. App. (JMCSA) 1 (2007) 145–152. [Google Scholar]
  • Y.L. Gao, H.W. Lin, M.M. Li and L.L. Yang, A new filled function method for solving constrained global optimization problems. Optimization (2024) 1–22. DOI: 10.1080/02331934.2024.2390118. [Google Scholar]
  • Z. Wan, L. Yuan and J. Chen, A filled function method for nonlinear systems of equalities and inequalities. Comput. Appl. Math. 31 (2021) 391–405. [Google Scholar]
  • A. Şahiner, T. Ermiş, A. Başağaoğlu Fındık, M.W. Awan and G. Özdemir, A new filled function for global optimization and its deterministic efficiency in solving the facility layout/location problem. Eng. Optim. 57 (2025) 1073–1086. [Google Scholar]
  • Z. Huo, Z. Wang, X. Zha, S. Zhang and M. Lu, Earthwork allocation optimization for soil and water conservation based on penalty-function genetic algorithm. (In Chinese) J. Yangzhou Univ. (Nat. Sci. Edn). 26 (2023) 67–72. [Google Scholar]
  • S.M. Easa, Selection of roadway grades that minimize earthwork cost using linear programming. Transp. Res. Part A: Gen. 22 (1988) 121–136. [Google Scholar]

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